Triple

T16282000
Position Surface form Disambiguated ID Type / Status
Subject Vantaa E395287 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Tikkurila E665794 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tikkurila | Statement: [Vantaa, hasNeighbourhood, Tikkurila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tikkurila
Context triple: [Vantaa, hasNeighbourhood, Tikkurila]
  • A. Tikkurila chosen
    Tikkurila is a major urban district and administrative center in the city of Vantaa, Finland, known for its transport hub, services, and cultural institutions.
  • B. Iittala
    Iittala is a Finnish design brand renowned for its high-quality glassware and timeless Scandinavian tableware and home objects.
  • C. Blomberg
    Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
  • D. Kohler
    Kohler is a German-origin surname borne by various notable individuals, including scholars, politicians, and artists.
  • E. Huskvarna
    Huskvarna is a Swedish town in Jönköping County best known as the historic home of the Husqvarna manufacturing company, famed for firearms, sewing machines, motorcycles, and outdoor power equipment.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24910c6b881909ae5cc0908dd8eb2 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c6b72081908a21e5099f463b62 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.